DALIA

#concepts #constructs #scales and items #response format #labels #Data Quality Assessment Framework #indicators #indices

Keywords

Data Quality Tools and Workflows: Survey Data - DQA FrameworkThis presentation is part of the KODAQS Data Quality Academy materials of the Competence Center for Data Quality in the Social Sciences (KODAQS). KODAQS is a joint initiative of GESIS – Leibniz Institute for the Social Sciences, the University of Mannheim, and the Ludwig Maximilian University of Munich (LMU) and is funded by the BMFTR and the EU NextGen Horizon Fund. The KODAQS Data Quality Academy program is designed to build practical and conceptual skills for assessing, documenting, and improving data quality across the entire lifecycle of quantitative research in the social sciences. The program combines core theoretical foundations with applied tools and domain-specific techniques. This presentation covers the Data Quality Assessment Framework (including indicators & indices). This presentation is the second part of a set of presentations on the topic of "Tools and Workflows (Survey Data)".

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Course

File Format

MP4, PDF

Languages

English

Media Type

Presentation, Video

Publication Date

2026-11-12

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#Data Quality Assessment Framework #indicators #indices

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Data Quality Tools and Workflows: Survey SoftwareThis presentation is part of the KODAQS Data Quality Academy materials of the Competence Center for Data Quality in the Social Sciences (KODAQS). KODAQS is a joint initiative of GESIS – Leibniz Institute for the Social Sciences, the University of Mannheim, and the Ludwig Maximilian University of Munich (LMU) and is funded by the BMFTR and the EU NextGen Horizon Fund. The KODAQS Data Quality Academy program is designed to build practical and conceptual skills for assessing, documenting, and improving data quality across the entire lifecycle of quantitative research in the social sciences. The program combines core theoretical foundations with applied tools and domain-specific techniques. This presentation is about platforms and panels, traps and pitfalls, and nuts and bolts. This presentation is the third part of a set of presentations on the topic of "Tools and Workflows (Survey Data)".

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Course

File Format

MP4, PDF

Languages

English

Media Type

Presentation, Video

Publication Date

2026-11-12

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#platforms #panels #traps #pitfalls

Keywords

#survey data #llm #quality assessment

Data Quality Tools and Workflows: Survey DataThis presentation is part of the KODAQS Data Quality Academy materials of the Competence Center for Data Quality in the Social Sciences (KODAQS). KODAQS is a joint initiative of GESIS – Leibniz Institute for the Social Sciences, the University of Mannheim, and the Ludwig Maximilian University of Munich (LMU) and is funded by the BMFTR and the EU NextGen Horizon Fund. The KODAQS Data Quality Academy program is designed to build practical and conceptual skills for assessing, documenting, and improving data quality across the entire lifecycle of quantitative research in the social sciences. The program combines core theoretical foundations with applied tools and domain-specific techniques. This presentation covers survey data, and how to find the path to the data, and date the data. This presentation is the fourth part of a set of presentations on the topic of "Tools and Workflows (Survey Data)".

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Course

File Format

MP4, PDF

Languages

English

Media Type

Presentation, Video

Publication Date

2026-11-12

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Authors

Keywords

Data Quality Tools and Workflows: LLM Applications for Survey DataThis presentation is part of the KODAQS Data Quality Academy materials of the Competence Center for Data Quality in the Social Sciences (KODAQS). KODAQS is a joint initiative of GESIS – Leibniz Institute for the Social Sciences, the University of Mannheim, and the Ludwig Maximilian University of Munich (LMU) and is funded by the BMFTR and the EU NextGen Horizon Fund. The KODAQS Data Quality Academy program is designed to build practical and conceptual skills for assessing, documenting, and improving data quality across the entire lifecycle of quantitative research in the social sciences. The program combines core theoretical foundations with applied tools and domain-specific techniques. In this presentation, use cases for LLMs in survey research are introduced. The presentation also covers LLM- and design-induced errors and quality assessment and best practices. This presentation is the fifth part of a set of presentations on the topic of "Tools and Workflows (Survey Data)".

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Course

File Format

MP4, PDF

Languages

English

Media Type

Presentation, Video

Publication Date

2026-11-12

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Authors

Leah von der Heyde

Keywords

Go to Resource

Data Quality Tools and Workflows: Survey Data - Missing TermsThis presentation is part of the KODAQS Data Quality Academy materials of the Competence Center for Data Quality in the Social Sciences (KODAQS). KODAQS is a joint initiative of GESIS – Leibniz Institute for the Social Sciences, the University of Mannheim, and the Ludwig Maximilian University of Munich (LMU) and is funded by the BMFTR and the EU NextGen Horizon Fund. The KODAQS Data Quality Academy program is designed to build practical and conceptual skills for assessing, documenting, and improving data quality across the entire lifecycle of quantitative research in the social sciences. The program combines core theoretical foundations with applied tools and domain-specific techniques. This presentation introduces missing terms (mechanisms, levels, treatments, codings) and missing cases (including the decision between MI and FIML). This presentation is the sixth part of a set of presentations on the topic of "Tools and Workflows (Survey Data)".

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Course

File Format

MP4, PDF

Languages

English

Media Type

Presentation, Video

Publication Date

2026-11-12

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Authors

#missing terms #missing cases

Keywords

Data Quality Tools and Workflows: Survey Data - Missing CasesThis presentation is part of the KODAQS Data Quality Academy materials of the Competence Center for Data Quality in the Social Sciences (KODAQS). KODAQS is a joint initiative of GESIS – Leibniz Institute for the Social Sciences, the University of Mannheim, and the Ludwig Maximilian University of Munich (LMU) and is funded by the BMFTR and the EU NextGen Horizon Fund. The KODAQS Data Quality Academy program is designed to build practical and conceptual skills for assessing, documenting, and improving data quality across the entire lifecycle of quantitative research in the social sciences. The program combines core theoretical foundations with applied tools and domain-specific techniques. This presentation covers a missing case study - step by step, how to decide between MI or FIML, and how to detect, handle, and report missing cases. This presentation is the seventh part of a set of presentations on the topic of "Tools and Workflows (Survey Data)".

Learning Resource Type

Course

File Format

MP4, PDF

Languages

English

Media Type

Presentation, Video

Publication Date

2026-11-12

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Authors

Keywords

#missing cases #MI #FIML

Data Quality Tools and Workflows: Survey Data - Check ItemsThis presentation is part of the KODAQS Data Quality Academy materials of the Competence Center for Data Quality in the Social Sciences (KODAQS). KODAQS is a joint initiative of GESIS – Leibniz Institute for the Social Sciences, the University of Mannheim, and the Ludwig Maximilian University of Munich (LMU) and is funded by the BMFTR and the EU NextGen Horizon Fund. The KODAQS Data Quality Academy program is designed to build practical and conceptual skills for assessing, documenting, and improving data quality across the entire lifecycle of quantitative research in the social sciences. The program combines core theoretical foundations with applied tools and domain-specific techniques. This presentation covers check items (including bogus items, directed items, self-report items) and paradata. This presentation is the eighth part of a set of presentations on the topic of "Tools and Workflows (Survey Data)".

Learning Resource Type

Course

File Format

MP4, PDF

Languages

English

Media Type

Presentation, Video

Publication Date

2026-11-12

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Authors

Keywords

Data Quality Tools and Workflows: Survey Data - ParadataThis presentation is part of the KODAQS Data Quality Academy materials of the Competence Center for Data Quality in the Social Sciences (KODAQS). KODAQS is a joint initiative of GESIS – Leibniz Institute for the Social Sciences, the University of Mannheim, and the Ludwig Maximilian University of Munich (LMU) and is funded by the BMFTR and the EU NextGen Horizon Fund. The KODAQS Data Quality Academy program is designed to build practical and conceptual skills for assessing, documenting, and improving data quality across the entire lifecycle of quantitative research in the social sciences. The program combines core theoretical foundations with applied tools and domain-specific techniques. The presentation covers the paradata universe, response time(s) as well as its causes and implications, and how to handle time and date variables. This presentation is the ninth part of a set of presentations on the topic of "Tools and Workflows (Survey Data)".

Learning Resource Type

Course

File Format

MP4, PDF

Languages

English

Media Type

Presentation, Video

Publication Date

2026-11-12

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Authors

#paradata universe #response time #time variables #date variables

Keywords

Data Quality Tools and Workflows: Survey Data - DistributionsThis presentation is part of the KODAQS Data Quality Academy materials of the Competence Center for Data Quality in the Social Sciences (KODAQS). KODAQS is a joint initiative of GESIS – Leibniz Institute for the Social Sciences, the University of Mannheim, and the Ludwig Maximilian University of Munich (LMU) and is funded by the BMFTR and the EU NextGen Horizon Fund. The KODAQS Data Quality Academy program is designed to build practical and conceptual skills for assessing, documenting, and improving data quality across the entire lifecycle of quantitative research in the social sciences. The program combines core theoretical foundations with applied tools and domain-specific techniques. The presentation convers distributions and patterns, such as response styles, visual response patterns, and substantive patterns. This presentation is the tenth part of a set of presentations on the topic of "Tools and Workflows (Survey Data)".

Learning Resource Type

Course

File Format

MP4, PDF

Languages

English

Media Type

Presentation, Video

Publication Date

2026-11-12

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Authors

Keywords

#distributions #patterns

Data Quality Tools and Workflows: Survey Data - Pattern BasicsThis presentation is part of the KODAQS Data Quality Academy materials of the Competence Center for Data Quality in the Social Sciences (KODAQS). KODAQS is a joint initiative of GESIS – Leibniz Institute for the Social Sciences, the University of Mannheim, and the Ludwig Maximilian University of Munich (LMU) and is funded by the BMFTR and the EU NextGen Horizon Fund. The KODAQS Data Quality Academy program is designed to build practical and conceptual skills for assessing, documenting, and improving data quality across the entire lifecycle of quantitative research in the social sciences. The program combines core theoretical foundations with applied tools and domain-specific techniques. This presentation covers response styles, visual response patterns, and substantive patterns. This presentation is the eleventh part of a set of presentations on the topic of "Tools and Workflows (Survey Data)".

Learning Resource Type

Course

File Format

MP4, PDF

Languages

English

Media Type

Presentation, Video

Publication Date

2026-11-12

License

Authors

#response styles #visual response patterns #substantive patterns

Keywords

Data Quality Tools and Workflows: Survey Data - Pattern AdvancedThis presentation is part of the KODAQS Data Quality Academy materials of the Competence Center for Data Quality in the Social Sciences (KODAQS). KODAQS is a joint initiative of GESIS – Leibniz Institute for the Social Sciences, the University of Mannheim, and the Ludwig Maximilian University of Munich (LMU) and is funded by the BMFTR and the EU NextGen Horizon Fund. The KODAQS Data Quality Academy program is designed to build practical and conceptual skills for assessing, documenting, and improving data quality across the entire lifecycle of quantitative research in the social sciences. The program combines core theoretical foundations with applied tools and domain-specific techniques. This presentation is about random and repetitive patterns, manifest and latent modeling, and flags and filters. This presentation is the twelfth part of a set of presentations on the topic of "Tools and Workflows (Survey Data)".

Learning Resource Type

Course

File Format

MP4, PDF

Languages

English

Media Type

Presentation, Video

Publication Date

2026-11-12

License

Authors

#patterns #modeling #flags #filter

Keywords